Improvement of impact noise in a passenger car utilizing sound metric based on wavelet transform

被引：44
|
作者：
Lee, Sang-Kwon [1 ]
Kim, Ho-Wuk [1 ]
Na, Eun-Woo [1 ]
机构：
[1] Inha Univ, Acoust & Vibrat Signal Proc Grp, Dept Mech Engn, Inchon 402751, South Korea
来源：
JOURNAL OF SOUND AND VIBRATION | 2010年 / 329卷 / 17期
关键词：
OBJECTIVE EVALUATION; NEURAL-NETWORK; VEHICLE; QUALITY;
D O I：
10.1016/j.jsv.2010.03.001
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
A new sound metric for impact sound is developed based on the continuous wavelet transform (CWT), a useful tool for the analysis of non-stationary signals such as impact noise. Together with new metric, two other conventional sound metrics related to sound modulation and fluctuation are also considered. In all, three sound metrics are employed to develop impact sound quality indexes for several specific impact courses on the road. Impact sounds are evaluated subjectively by 25 jurors. The indexes are verified by comparing the correlation between the index output and results of a subjective evaluation based on a jury test. These indexes are successfully applied to an objective evaluation for improvement of the impact sound quality for cases where some parts of the suspension system of the test car are modified. (C) 2010 Elsevier Ltd. All rights reserved.
引用
收藏
页码：3606 / 3619
页数：14
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